# Scrapy settings for conch_findroom project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
#     https://docs.scrapy.org/en/latest/topics/settings.html
#     https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
#     https://docs.scrapy.org/en/latest/topics/spider-middleware.html
# from fake_useragent import UserAgent
# import random
BOT_NAME = 'conch_findroom'

SPIDER_MODULES = ['conch_findroom.spiders']
NEWSPIDER_MODULE = 'conch_findroom.spiders'

# CONCURRENT_REQUESTS = 5     # 降低同时请求的数量
# download_timeout = 15   # 设置请求时间

# LOG_LEVEL = "WARNING"   # 输出权限

# Crawl responsibly by identifying yourself (and your website) on the user-agent
#USER_AGENT = 'conch_findroom (+http://www.yourdomain.com)'

# Obey robots.txt rules
ROBOTSTXT_OBEY = False
COOKIES_ENABLED = False   # 解决302重定向问题
REDIRECT_ENABLED = False                       # 关掉重定向, 不会重定向到新的地址
# HTTPERROR_ALLOWED_CODES = [301, 302]     # 返回301, 302时, 按正常返回对待, 可以正常写入cookie

# Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32

# Configure a delay for requests for the same website (default: 0)
# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
DOWNLOAD_DELAY = 1.2
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16

# Disable cookies (enabled by default)
#COOKIES_ENABLED = False

# Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False

# Override the default request headers:
DEFAULT_REQUEST_HEADERS = {
  'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
  'Accept-Language': 'en',
  'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/78.0.3904.70 Safari/537.36',
}

# Enable or disable spider middlewares
# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
#    'conch_findroom.middlewares.ConchFindroomSpiderMiddleware': 543,
#}

# Enable or disable downloader middlewares
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
# DOWNLOADER_MIDDLEWARES = {
#    'conch_findroom.middlewares.ProxyDownloadMiddleware': 543,
# }

# Enable or disable extensions
# See https://docs.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
#    'scrapy.extensions.telnet.TelnetConsole': None,
#}

# Configure item pipelines
# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
   'conch_findroom.pipelines.MySQLPipeline': 300,
}

# Enable and configure the AutoThrottle extension (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False

# Enable and configure HTTP caching (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

# Scrapy-Redis相关配置
# 确保request存储到redis中
SCHEDULER = "scrapy_redis.scheduler.Scheduler"  # #指定队列

# 确保所有爬虫共享相同去的去重指纹
DUPEFILTER_CLASS = 'scrapy_redis.dupefilter.RFPDupeFilter'     # #定义一个去重的类

# 在redis中保持scrapy-redis用到的队列，不会清理redis中的队列，从而可以实现暂停和恢复的功能
SCHEDULER_PERSIST = True

# # 设置指定连接的redis信息
REDIS_HOST = '192.168.189.21'
REDIS_PORT = '6379'

# 
# import redis
# # 将start_url 存储到redis中的redis_key中，让爬虫去爬取
# redis_Host = "192.168.2.133"
# redis_key = 'spider:start_urls'
# 
# # 创建redis数据库连接
# rediscli = redis.Redis(host = redis_Host, port = 6379, db = "0")
# 
# # 先将redis中的requests全部清空
# flushdbRes = rediscli.flushdb()
# # print(f"flushdbRes = {flushdbRes}")
# rediscli.lpush(redis_key, "https://www.ke.com/city/")

# # 代理超时处理
# # 3 秒后不成功，就换下一个代理ip继续执行
# DOWNLOAD_TIMEOUT = 3
# # 超时失败处理： 请求失败就重试
# RETRY_ENABLED = True
# # 重试次数
# RETRY_TIMES = 3